TuringX Java Project

This repository contains the source code for a Twitter Clone Application developed using Spring Boot and Microservices Architecture. The project includes core features like user registration, authentication, posting tweets, following users, and managing roles and permissions.

Features

1. User Management:

   • User Registration and Login (JWT Authentication).
   • Password Encryption (using BCrypt).
   • Fetch all users.

2. Post Management:

   • Fetch posts by ID or user.
   • Fetch notifications for users.

3. Follow and Connections:

   • Follow/Unfollow users.
   • Fetch posts from user connections.

4. Technologies Used:

   • Backend: Spring Boot, Spring Data JPA, Hibernate.
   • Authentication: JWT (JSON Web Token).
   • Database: PostgreSQL.
   • Message Broker: Apache Kafka (Confluent Cloud).
   • Dependency Management: Maven.

API Endpoints

UserController

HTTP Method	Endpoint	Description
POST	/signup	Register a new user
POST	/login	User login (authentication)
GET	/getAllUsers	Fetch all users

PostsController

HTTP Method	Endpoint	Description
GET	/posts	Fetch all posts
GET	/{postId}	Fetch post details by ID
GET	/users/{userId}/allPosts	Fetch all posts by a specific user
GET	/users/{userId}/allNotifications	Fetch notifications for a specific user

ConnectionController

HTTP Method	Endpoint	Description
POST	/follow	Follow a user
GET	/getAllPosts	Fetch posts in user connections

Configuration Setup

Ensure your application.properties file is properly configured with the following details:

# Application Name
spring.application.name=twitter

# Server Configuration
server.port=7799

# JWT Configuration
jwt.secretKey=encrypted

# Database Configuration (PostgreSQL)
spring.jpa.hibernate.ddl-auto=validate
spring.datasource.url=jdbc:postgresql://autorack.proxy.rlwy.net:57712/linkedIn
spring.datasource.username=postgres
spring.datasource.password=encrypted

# Logging Configuration
logging.level.org.springframework.security.*=TRACE
logging.level.org.springframework.web.*=TRACE

# Kafka Configuration (Confluent Cloud)
spring.kafka.properties.sasl.mechanism=PLAIN
spring.kafka.bootstrap-servers=pkc-z9doz.eu-west-1.aws.confluent.cloud:9092
spring.kafka.properties.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username='WABXE4BB73DP2XRC' password='hQZuLdgtmp9dnSBqrEv3eM5YLXN1zQXKW3bzTugbsK9EgBn8nQOGMLUjlta4P6lD';
spring.kafka.properties.security.protocol=SASL_SSL
spring.kafka.properties.session.timeout.ms=45000

# Kafka Client ID
client.id=ccloud-springboot-client-d307d509-09c7-4e42-95b9-b9ac281a080c

Setup Instructions

Prerequisites

1. Install Java 17+.
2. Install Maven.
3. Install and configure PostgreSQL.
4. Set up Confluent Cloud Kafka with the provided credentials.

Steps to Run

1. Clone the repository:

   git clone https://github.com/premtsd18/TwitterTeamTuringTesters
   cd TwitterTeamTuringTesters

2. Update the application.properties file with your database and Kafka credentials.

3. Build and run the application:

   mvn clean install
   mvn spring-boot:run

4. Access the application:

   • API Base URL: http://localhost:7799
   • API Cloud URL: https://twitter-team-turning-testers-19648cf420b7.herokuapp.com

Future Enhancements

1. Add WebSocket support for real-time notifications.
2. Implement Docker and Kubernetes for containerization and orchestration.
3. Expand to a fully scalable microservices architecture.

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Developed by Team Turing Testers